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RegexFullMatch

public final class RegexFullMatch

Check if the input matches the regex pattern.

The input is a string tensor of any shape. The pattern is a scalar string tensor which is applied to every element of the input tensor. The boolean values (True or False) of the output tensor indicate if the input matches the regex pattern provided.

The pattern follows the re2 syntax (https://github.com/google/re2/wiki/Syntax)

Examples:

>>> tf.strings.regex_full_match(["TF lib", "lib TF"], ".*lib$") >>> tf.strings.regex_full_match(["TF lib", "lib TF"], ".*TF$")

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output < TBool >
asOutput ()
Returns the symbolic handle of the tensor.
static RegexFullMatch
create ( Scope scope, Operand < TString > input, Operand < TString > pattern)
Factory method to create a class wrapping a new RegexFullMatch operation.
Output < TBool >
output ()
A bool tensor with the same shape as `input`.

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "RegexFullMatch"

Public Methods

public Output < TBool > asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static RegexFullMatch create ( Scope scope, Operand < TString > input, Operand < TString > pattern)

Factory method to create a class wrapping a new RegexFullMatch operation.

Parameters
scope current scope
input A string tensor of the text to be processed.
pattern A scalar string tensor containing the regular expression to match the input.
Returns
  • a new instance of RegexFullMatch

public Output < TBool > output ()

A bool tensor with the same shape as `input`.